Power BI Solutions Architect

UL Solutions External Career Site

Makati

Hybrid

PHP 900,000 - 1,200,000

Full time

3 days ago

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Job summary

UL Solutions is seeking a Power BI Developer in Makati to translate business questions into scalable BI solutions. You will design datasets, semantic models, and dashboards, building dimensional models and measures for actionable insights.

The role emphasizes advanced DAX, SQL, and Power Query, with governance, security, and deployment practices. You will collaborate with data engineering to resolve data issues and optimize performance, supporting enterprise analytics across the organization.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Mathematics, or a related discipline, or equivalent combination of education and experience.
3+ years of experience in Power BI development, including semantic layer design, data modeling, dataset development, dashboard creation, reporting, and enterprise analytics solutions.
Experience designing, developing, and supporting governed self-service analytics and business intelligence solutions.

Responsibilities

Translate business questions, reporting requirements, and KPI definitions into scalable Power BI solutions and reusable semantic models.
Design and develop Power BI datasets, semantic models, dashboards, scorecards, paginated reports, and complex interactive reports.
Build dimensional models, relationships, calculation groups, hierarchies, field parameters, measures, and business-friendly reporting layers.
Develop advanced DAX, Power Query, SQL, and reusable BI patterns for accurate, performant analytics.
Create intuitive report experiences using drill-through, bookmarks, dynamic filtering, navigation, conditional formatting, and effective visualization design.
Tune model and report performance using query reduction, aggregations, source optimization, model design, and refresh optimization.
Validate data, reconcile metrics, investigate discrepancies, and partner with data engineering teams to resolve upstream data issues.
Configure row-level security, object-level security, workspace access, deployment pipelines, endorsements, sensitivity labels, and lifecycle controls.
Monitor refreshes, usage, performance, adoption, and production issues; document metric definitions, model design, lineage, dependencies, and support procedures.